No abstract is provided for this article.
No abstract is provided for this article.
No abstract is provided for this article.
We report the development of LumenP, a new neural network-based predictor for the identification of proteins targeted to the thylakoid lumen of plant chloroplasts and prediction of their cleavage sites. When used together with the previously developed TargetP predictor, LumenP reaches a significantly better performance than what has been recorded for previous attempts at predicting thylakoid lumen location, mostly due to a lower false positive rate. The combination of TargetP and LumenP predicts around 1.5%-3% of all proteins encoded in the genomes of Arabidopsis thaliana and Oryza sativa to be located in the lumen of the thylakoid.
Primary structures of 250 characterized proteins with N‐terminally acetylated residues were correlated with residue distributions and other data. Excluding multiple forms derived from characterized species variants, the structures represent 105 different types of acetylated proteins. Results of comparisons extend previous suggestions based on fewer structures and define relationships further. The N‐terminal residue that is acetylated is of a limited type and is frequently a small residue, with a heavy over‐representation of serine and alanine. However, the occurrence of methionine at the acetylated position is also high, whereas that of glycine is less frequent than previously estimated. Lysine is over‐represented in the N‐terminal region, as is aspartic and glutamic acids at a few positions close to the acetylated N‐terminus (especially the adjacent position). Finally. distributions of branched‐chain residues in the N‐terminal region of acetylated proteins are altered in relation to those of proteins in general, isoleucine is over‐represented, and leucine and valine are under‐represented. The results suggest that α‐amino‐acetylated proteins have special residues in N‐terminally non‐hydrophobic structures. Data are compatible with a protective function for acetylation but do not exclude further role(s) in processing or other special functions.
A kinetic model for the helix-cruciform transition is presented, mean lifetimes for the cruciform states are calculated and shown to be inconsistent with the notion of metastability.
The subcellular location of a protein is an important characteristic with functional implications, and hence the problem of predicting subcellular localization from the amino acid sequence has received a fair amount of attention from the bioinformatics community. This review attempts to summarize the present state of the art in the field.
We have examined the effect of Trp and Phe residues on the positioning of a poly-Leu transmembrane helix relative to the microsomal membrane by employing a previously described "glycosylation mapping" technique [Nilsson, I. M., Sääf, A., Whitley, P., Gafvelin, G., Waller, C., and von Heijne, G. (1998) J. Mol. Biol. 284, 1165−1175]. Both Trp and Phe tend to push the transmembrane helix into the membrane when inserted in positions flanking the poly-Leu stretch, and Trp (but not Phe) pulls the transmembrane helix toward the lipid−water interface when inserted inside the poly-Leu segment. Thus, the preference of Trp for the lipid−water interface previously suggested on the basis of biophysical studies of model peptides can also be observed for a bona fide transmembrane helix in a biological membrane. We further show that a sufficiently long poly-Trp segment functions as an efficient stop-transfer sequence during protein translocation across the microsomal membrane, despite the preference of Trp residues for the lipid−water interface region.
The current picture of the mitochondrial targeting peptide displayed in this chapter against a background of what is known about two other kinds of related sorting signals, namely secretory signal peptides and chloroplast transit peptides. Picture of the mitochondria1 matrix-targeting signal is based on the concept of the positively charged amphiphilic α-helix. This model is supported by a substantial body of evidence: statistical, biophysical, and genetical. The amphililic helix is required not only for correct targeting, but apparently also for correct cleavage, where it might serve to roughly position the cleavage enzyme in relation to the rather loosely defined cleavage site pattern. It is still unclear how the targeting peptide is recognized. Biophysical studies have demonstrated that targeting peptides have strong lipid-interacting properties, suggesting that direct protein-lipid interaction may be important at some stage. Both cytoplasmic and mitochondrial receptors that bind targeting peptides have been identified, and it is recently suggested that mitochondrial hsp70 also binds to targeting peptides as they emerge in to the matrix space.
No abstract is provided for this article.